Worked on enhancing performance instrumentation for the gofr-dev/gofr repository, focusing on backend development and performance monitoring using Go and gRPC. Expanded the granularity of gRPC performance metrics by updating histogram bucket values to capture a broader range of response times, which enables finer latency quantiles and improved detection of outliers. This instrumentation-driven approach improved observability and laid the groundwork for more accurate data-driven capacity planning and SLA tracking. The work emphasized correctness and validation, ensuring the system is ready for deeper performance analysis and faster triage in future development cycles. No major bugs were addressed during this period.